The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis
Metrics and citations
MetadataShow full item record
Author/sLópez-Robles, José Ricardo; Rodríguez-Salvador, Marisela; Gamboa-Rosales, Nadia Karina; Ramirez-Rosales, Selene; Cobo Martín, Manuel Jesús
Source7th International Conference on Information Technology and Quantitative Management (ITQM 2019): Information technology and quantitative management based on Artificial Intelligence - Procedia Computer Science Volume 162, 2019, Pages 729-736
Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes).